Handling decision-making in Intuitionistic Fuzzy environment: PyIFDM package

Abstract

The introduction of fuzzy logic assumptions into Multi-Criteria Decision Analysis (MCDA) methods has broadened the application area of these techniques, increasing their practical potential. Due to their popularity, decision-makers need to have access to open and comprehensive tools to assist them in their decision-making process. In this paper, we propose a software library written in Python for multi-criteria computing in an uncertain environment. PyIFDM (Python Intuitionistic Fuzzy Decision Making) offers users access to selected Intuitionistic Fuzzy MCDA methods, normalization techniques, distance measures, score functions, or objective weighting methods. It enables users to build complex decision-making models regarding the uncertainties occurring in the problem.

Keywords

• Decision Making
• Intuitionistic Fuzzy Sets
• Uncertain data
• Python